iPad (11th generation)
Geekbench AI Score
3637
Single Precision Score
22708
Half Precision Score
25470
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 09:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad (11th generation) |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | Apple A16 |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
8718
1.62 KIPS |
|
|
Image Classification (Q)
|
97% |
10568
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16241
263.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19385
314.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6060
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
97207
113.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
101852
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
12360
980.4 IPS |
|
|
Object Detection (Q)
|
89% |
14455
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
33207
394.6 IPS |
|
|
Face Detection (Q)
|
100% |
45886
545.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5884
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
70926
546.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
88914
694.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18001
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172558
221.8 IPS |
|
|
Style Transfer (Q)
|
96% |
173753
224.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3785
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32902
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34639
1.28 KIPS |
|
|
Text Classification (SP)
|
99% |
5268
7.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
1902
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7184
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8159
141.0 IPS |
